Google's AI research agents discover 66 novel biomarkers in automated biomedical study
imjustnewatai · x · 2026-08-24
Google quietly built a software biomedical research group driven by agents. Starting with wearable data, specialized agents form hypotheses, run statistics, attack weak results, verify biology, and assemble papers. Across 9,279 participant-observations, it prioritized 41 mental-health and 25 metabolic candidate biomarkers and derived a steps/resting-heart-rate index linked to insulin resistance. In a blind study, 15 experts estimated they would retain 56.9% of its manuscript content, compared to 18.8–30.4% for other AI systems. It was the only system to receive "accept" or "minor revision" recommendations. The 66 signals require clinical validation.
More from coding & agent
- Proof launches x401, first protocol letting AI agents prove who they represent — csuwildcat · 2026-10-15
- A versioned bootstrap loader pattern for keeping AI-generated code always shippable — NickPassig · 2026-10-15
- Dev vibe-codes open-source newsletter platform, 83% cheaper than Beehiiv from $19/mo — marclou · 2026-10-15
- ERP AI launches Proto: 'headless SaaS' business software built for AI agents — Aiden_Tech_Ai · 2026-10-15
- Engineering managers need deep reading, not just agent summaries: 5 recommended resources — rseroter · 2026-10-15
- Adding motion graphics with just a prompt: the Claude Motion x ElevenLabs MCP workflow — CurieuxExplorer · 2026-10-15